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    ESANN
    2006
    182views Neural Networks» more  ESANN 2006»
    Adaptive Sensor Modelling and Classification using a Continuous Restricted Boltzmann Machine (CRBM)
    14 years 28 days ago
    Adaptive Sensor Modelling and Classification using a Continuous Restricted Boltzmann Machine (CRBM)
    Download  www.see.ed.ac.uk
    A probabilistic, ``neural'' approach to sensor modelling and classification is described, performing local data fusion in a wireless system for embedded sensors using a ...
    Tong Boon Tang, Alan F. Murray
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    ESANN
    2006
    107views Neural Networks» more  ESANN 2006»
    Time series prediction using DirRec strategy
    14 years 28 days ago
    Time series prediction using DirRec strategy
    Download  eprints.pascal-network.org
    This paper demonstrates how the selection of Prediction Strategy is important in the Long-Term Prediction of Time Series. Two strategies are already used in the prediction purposes...
    Antti Sorjamaa, Amaury Lendasse
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    ESANN
    2006
    85views Neural Networks» more  ESANN 2006»
    Synthesis of maximum margin and multiview learning using unlabeled data
    14 years 28 days ago
    Synthesis of maximum margin and multiview learning using unlabeled data
    Download  www.dice.ucl.ac.be
    In this presentation we show the semi-supervised learning with two input sources can be transformed into a maximum margin problem to be similar to a binary SVM. Our formulation exp...
    Sándor Szedmák, John Shawe-Taylor
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    ESANN
    2006
    94views Neural Networks» more  ESANN 2006»
    Consistent estimation of the architecture of multilayer perceptrons
    14 years 28 days ago
    Consistent estimation of the architecture of multilayer perceptrons
    Download  www.dice.ucl.ac.be
    Abstract. We consider regression models involving multilayer perceptrons (MLP) with one hidden layer and a Gaussian noise. The estimation of the parameters of the MLP can be done b...
    Joseph Rynkiewicz
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    ESANN
    2006
    111views Neural Networks» more  ESANN 2006»
    Efficient Forward Regression with Marginal Likelihood
    14 years 28 days ago
    Efficient Forward Regression with Marginal Likelihood
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    We propose an efficient forward regression algorithm based on greedy optimization of marginal likelihood. It can be understood as a forward selection procedure which adds a new bas...
    Ping Sun, Xin Yao
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    ESANN
    2006
    106views Neural Networks» more  ESANN 2006»
    Using sampling methods to improve binding site predictions
    14 years 28 days ago
    Using sampling methods to improve binding site predictions
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    Currently the best algorithms for transcription factor binding site prediction are severely limited in accuracy. In previous work we combine random selection under-sampling with th...
    Yi Sun, Mark Robinson, Rod Adams, Rene te Boekhors...
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    ESANN
    2006
    109views Neural Networks» more  ESANN 2006»
    Sanger-driven MDSLocalize - a comparative study for genomic data
    14 years 28 days ago
    Sanger-driven MDSLocalize - a comparative study for genomic data
    Download  www.dice.ucl.ac.be
    Multidimensional scaling (MDS) methods are designed to establish a one-to-one correspondence of input-output relationships. While the input may be given as high-dimensional data it...
    Marc Strickert, Nese Sreenivasulu, Udo Seiffert
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    ESANN
    2006
    116views Neural Networks» more  ESANN 2006»
    Visual Data Mining and Machine Learning
    14 years 28 days ago
    Visual Data Mining and Machine Learning
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    Information visualization and visual data mining leverage the human visual system to provide insight and understanding of unorganized data. In order to scale to massive sets of hig...
    Fabrice Rossi
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    ESANN
    2006
    199views Neural Networks» more  ESANN 2006»
    Recognition of handwritten digits using sparse codes generated by local feature extraction methods
    14 years 28 days ago
    Recognition of handwritten digits using sparse codes generated by local feature extraction methods
    Download  www.nada.kth.se
    We investigate when sparse coding of sensory inputs can improve performance in a classification task. For this purpose, we use a standard data set, the MNIST database of handwritte...
    Rebecca Steinert, Martin Rehn, Anders Lansner
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    ESANN
    2006
    99views Neural Networks» more  ESANN 2006»
    Unsupervised clustering of continuous trajectories of kinematic trees with SOM-SD
    14 years 28 days ago
    Unsupervised clustering of continuous trajectories of kinematic trees with SOM-SD
    Download  www.dice.ucl.ac.be
    We explore the capability of the Self Organizing Map for structured data (SOM-SD) to compress continuous time data recorded from a kinematic tree, which can represent a robot or an...
    Jochen J. Steil, Risto Koiva, Alessandro Sperduti
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